Топовая позиция в крупном продукте с очень четкими целями. Работа над идентификацией AI-агентов и Zero Trust в таком масштабе — это мощный буст для карьеры.
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Текст:
Hirify AI/Оригинал
TL;DR
Principal Security Software Engineer (IAM): Defining and building production identity and access systems for Roblox's hybrid on-premises and cloud infrastructure with an accent on workload identity, privileged access, authorization, and AI-agent identity. Focus on designing mTLS and SPIFFE/SPIRE platforms, short-lived least-privilege access, resilient authorization, and secure identity lifecycle management for AI agents.
Location: United States; headquarters in San Mateo, California. Office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.
Company
Roblox builds a 3D immersive platform and tools that enable a global community of developers and creators to create interactive experiences.
What you will do
Define the architecture and multi-year strategy for machine, workload, human, and AI-agent identity across hybrid on-premises and cloud infrastructure.
Lead the SPIFFE/SPIRE-based workload identity platform, service-mesh integration, managed service accounts, and certificate issuance, storage, and rotation.
Architect just-in-time, least-privilege, and break-glass production access with short-lived, auditable credentials.
Evolve centralized authorization using RBAC, ABAC, and risk-based access models.
Design identity, scoped permissions, and session management patterns for AI agents.
Write RFCs and roadmaps, align platform stakeholders, mentor senior and staff engineers, and contribute hands-on to complex systems.
Requirements
8+ years of professional experience building scalable, distributed backend systems and driving architecture end to end.
Deep expertise in identity and access management, including authentication, authorization, and access-control models.
Experience with PKI, certificate and key lifecycle management, mTLS, SPIFFE/SPIRE or comparable workload identity systems, service mesh, secret management, or privileged access management.
Proficiency in Go, Rust, Java, C++, Python, or C# .NET, with hands-on experience building systems.
Experience setting technical direction, writing design documents, leading technical work, and mentoring senior engineers.
AI fluency, including understanding LLM capabilities and limitations and the security implications of assigning identity and permissions to AI agents.
Nice to have
Bachelor's degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
Culture & Benefits
Full-time employees are eligible for equity compensation and benefits.
Work emphasizes secure, reliable systems, least privilege, zero trust, and strong builder experience.
Role includes technical mentorship, cross-organizational collaboration, design reviews, on-call ownership, and hiring.
US work authorization restrictions may apply, and future H-1B sponsorship may not be supported.
Equal employment opportunities and reasonable accommodations are provided during the recruiting process.
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